We propose a very efficient numerical algorithm for minimizing certain curvature dependent functionals that appear in a variety of well known variational models of image processin...
In this paper the problem of building and reconstructing geometrical surface models from multiple calibrated images is considered. We build an appropriate statistical 3D model fro...
We present an imaging framework to acquire 3D surface scans at ultra high-resolutions (exceeding 600 samples per mm2 ). Our approach couples a standard structured-light setup and ...
Zheng Lu, Yu-Wing Tai, Moshe Ben-Ezra, Michael Bro...
Extracting a computer model of a real scene from a sequence of views, is one of the most challenging and fundamental problems in computer vision. Stereo vision algorithms allow us...
We compare three Computer Vision approaches to 3-D reconstruction, namely passive Binocular Stereo and active Structured Lighting and Photometric Stereo, in application to human f...
Alexander Woodward, Da An, Georgy L. Gimel'farb, P...